Classification of a waveform according to periodic characteristics such as sine, square, or triangle, or long-duration characteristics such as taper or chirp.
in physics, a complex valued function defined on physical space (and potentially additional variables denoting internal parameters such as spin, etc) whose amplitude squared describes the probability
distribution of measuring a particle (or field) in a particular state.
The process of calibrating wave gauges (sensors that are used to measure the height of a wave or subsurface pressure which is related to wave-height) when changing tank water level in a wave research
tank. In addition, some wave gauges are self-calibrating and can be calibrated without changing the water level, typically at the beginning and end of each day.
A refinement of Fourier analysis which enables to simplify the description of a complicated function in terms of a small number of coefficients. The formal history of wavelet theory began in the early
1980s when Jean Morlet, a French geophysicist, introduced the concept of wavelet and studied wavelet transform as a new tool for scientific signal analysis. In 1984, his collaboration with Alex Grossmann yielded a detailed mathematical study of the continuous wavelet transforms and their various applications. Although similar results had already been obtained 20-50 years earlier by several other researchers, the rediscovery of the old concepts provided a new method for decomposing functions.